This week, I created a table to summarize all of the background research we have completed so far. This table includes the dataset used for each experiment, specifics on each research team's mathematical model, and the results that were acquired. Because many of the papers gave methods or results that were dependent on other papers, this table will be very useful when we make decisions on our own model.
- I did more background research on getting a more accurate retrieval of duplicate bug reports. This method uses a popular equation called the BM25F that takes advantage of both global word usage as well as local word frequencies instead of the very common cosine similarity measurement.
In addition to watching more tutorials on web scraping using Xpath and processing data using Rapid Miner, I have installed Scrapy (a popular web scraping tool) and started through some tutorials.
Thanks for reading!
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